Haixin Dang
Papers
2
Total Citations
10
H-Index
2
About
Haixin Dang is a researcher in multi-robot systems, focusing on distributed coordination, formation control, and coverage optimization in non-ideal environments. Their work addresses critical challenges in deploying robot teams for real-world operations such as environmental monitoring, disaster rescue, and pollution prevention. Dang’s most-cited paper (2023, 7 citations) introduces a distributed weighted coverage algorithm that accounts for positioning errors and limited communication in non-convex environments, improving robustness for practical multi-robot deployments. Another notable contribution (2022, 3 citations) applies centroidal Voronoi tessellation (CVT) to formation control, enhancing adaptability and redundancy over traditional rigid formations. Dang’s research bridges theoretical algorithms and real-world constraints, offering scalable solutions for autonomous robot teams. With a growing citation record and a focus on health optimization and dynamic adaptation, Dang is advancing the reliability and efficiency of multi-robot systems in complex, unpredictable settings.
Research Focus
Key Achievements
Top Papers
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- 2